UALET profiling report

Dataset statistics

Number of variables	25
Number of observations	31734
Missing cells	2
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.1 MiB
Average record size in memory	200.0 B

Variable types

DateTime	2
Numeric	14
Categorical	9

Warnings

`Tipo Cliente` has constant value "Ualet puro"	Constant
`cant` has constant value "1"	Constant
`Primer Nombre` has a high cardinality: 3187 distinct values	High cardinality
`Ciudad` has a high cardinality: 844 distinct values	High cardinality
`Id Modificado` is highly correlated with `Cod. Ocupacion`	High correlation
`Cod_Ciudad_Nac.` is highly correlated with `Cod Dpto.Nacimto.`	High correlation
`Cod Dpto.Nacimto.` is highly correlated with `Cod_Ciudad_Nac.`	High correlation
`Cod. Ocupacion` is highly correlated with `Id Modificado`	High correlation
`Ingresos_mensuales` is highly correlated with `Otros_Ing_Mensuales` and 1 other fields	High correlation
`Otros_Ing_Mensuales` is highly correlated with `Ingresos_mensuales` and 1 other fields	High correlation
`Total_Activos` is highly correlated with `Ingresos_mensuales` and 1 other fields	High correlation
`Transacciones` is highly correlated with `Transacciones Adiciones` and 1 other fields	High correlation
`Transacciones Adiciones` is highly correlated with `Transacciones` and 1 other fields	High correlation
`Transacciones Retiros` is highly correlated with `Transacciones` and 1 other fields	High correlation
`Id Modificado` is highly correlated with `Codigo CIIU` and 5 other fields	High correlation
`Codigo CIIU` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Cod_Ciudad_Nac.` is highly correlated with `Cod Dpto.Nacimto.`	High correlation
`Cod Dpto.Nacimto.` is highly correlated with `Cod_Ciudad_Nac.`	High correlation
`Cod. Ocupacion` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Ingresos_mensuales` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Egresos_mensuales` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Otros_Ing_Mensuales` is highly correlated with `Codigo CIIU` and 5 other fields	High correlation
`Total_Activos` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Total_Pasivos` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Saldo` is highly correlated with `Transacciones Adiciones`	High correlation
`Transacciones` is highly correlated with `Transacciones Adiciones` and 1 other fields	High correlation
`Transacciones Adiciones` is highly correlated with `Saldo` and 2 other fields	High correlation
`Transacciones Retiros` is highly correlated with `Transacciones` and 1 other fields	High correlation
`Id Modificado` is highly correlated with `Codigo CIIU` and 4 other fields	High correlation
`Codigo CIIU` is highly correlated with `Id Modificado` and 6 other fields	High correlation
`Cod_Ciudad_Nac.` is highly correlated with `Cod Dpto.Nacimto.`	High correlation
`Cod Dpto.Nacimto.` is highly correlated with `Cod_Ciudad_Nac.`	High correlation
`Cod. Ocupacion` is highly correlated with `Id Modificado` and 5 other fields	High correlation
`Ingresos_mensuales` is highly correlated with `Id Modificado` and 5 other fields	High correlation
`Egresos_mensuales` is highly correlated with `Id Modificado` and 5 other fields	High correlation
`Otros_Ing_Mensuales` is highly correlated with `Codigo CIIU` and 1 other fields	High correlation
`Total_Activos` is highly correlated with `Id Modificado` and 5 other fields	High correlation
`Total_Pasivos` is highly correlated with `Codigo CIIU` and 5 other fields	High correlation
`Transacciones` is highly correlated with `Transacciones Adiciones` and 1 other fields	High correlation
`Transacciones Adiciones` is highly correlated with `Transacciones` and 1 other fields	High correlation
`Transacciones Retiros` is highly correlated with `Transacciones` and 1 other fields	High correlation
`Riesgo` is highly correlated with `Id Modificado` and 1 other fields	High correlation
`Transacciones Retiros` is highly correlated with `Transacciones Adiciones` and 1 other fields	High correlation
`Otros_Ing_Mensuales` is highly correlated with `Ingresos_mensuales` and 1 other fields	High correlation
`Id Modificado` is highly correlated with `Riesgo` and 5 other fields	High correlation
`Perfil Riesgo` is highly correlated with `Riesgo` and 1 other fields	High correlation
`Egresos_mensuales` is highly correlated with `Ingresos_mensuales`	High correlation
`Cod_Ciudad_Nac.` is highly correlated with `Id Modificado` and 2 other fields	High correlation
`Ocupacion` is highly correlated with `Id Modificado` and 2 other fields	High correlation
`Ingresos_mensuales` is highly correlated with `Otros_Ing_Mensuales` and 2 other fields	High correlation
`Total_Activos` is highly correlated with `Otros_Ing_Mensuales` and 1 other fields	High correlation
`Codigo CIIU` is highly correlated with `CIIU`	High correlation
`Transacciones Adiciones` is highly correlated with `Transacciones Retiros` and 1 other fields	High correlation
`Departamento` is highly correlated with `Cod_Ciudad_Nac.` and 1 other fields	High correlation
`Cod. Ocupacion` is highly correlated with `Id Modificado` and 2 other fields	High correlation
`CIIU` is highly correlated with `Id Modificado` and 3 other fields	High correlation
`Transacciones` is highly correlated with `Transacciones Retiros` and 1 other fields	High correlation
`Cod Dpto.Nacimto.` is highly correlated with `Cod_Ciudad_Nac.` and 1 other fields	High correlation
`Riesgo` is highly correlated with `Tipo Cliente` and 2 other fields	High correlation
`Tipo Cliente` is highly correlated with `Riesgo` and 5 other fields	High correlation
`Ocupacion` is highly correlated with `Tipo Cliente` and 2 other fields	High correlation
`Perfil Riesgo` is highly correlated with `Riesgo` and 2 other fields	High correlation
`cant` is highly correlated with `Riesgo` and 5 other fields	High correlation
`Departamento` is highly correlated with `Tipo Cliente` and 1 other fields	High correlation
`CIIU` is highly correlated with `Tipo Cliente` and 2 other fields	High correlation
`Ingresos_mensuales` is highly skewed (γ1 = 177.9249995)	Skewed
`Egresos_mensuales` is highly skewed (γ1 = 178.0577763)	Skewed
`Otros_Ing_Mensuales` is highly skewed (γ1 = 120.9799996)	Skewed
`Total_Activos` is highly skewed (γ1 = 143.832213)	Skewed
`Total_Pasivos` is highly skewed (γ1 = 139.5551282)	Skewed
`Saldo` is highly skewed (γ1 = 66.44705337)	Skewed
`Id Modificado` is uniformly distributed	Uniform
`Id Modificado` has unique values	Unique
`Codigo CIIU` has 20155 (63.5%) zeros	Zeros
`Cod Dpto.Nacimto.` has 797 (2.5%) zeros	Zeros
`Cod. Ocupacion` has 20158 (63.5%) zeros	Zeros
`Ingresos_mensuales` has 20157 (63.5%) zeros	Zeros
`Egresos_mensuales` has 20180 (63.6%) zeros	Zeros
`Otros_Ing_Mensuales` has 26743 (84.3%) zeros	Zeros
`Total_Activos` has 20176 (63.6%) zeros	Zeros
`Total_Pasivos` has 22580 (71.2%) zeros	Zeros
`Saldo` has 22013 (69.4%) zeros	Zeros
`Transacciones` has 12588 (39.7%) zeros	Zeros
`Transacciones Adiciones` has 12593 (39.7%) zeros	Zeros
`Transacciones Retiros` has 18546 (58.4%) zeros	Zeros

Reproduction

Analysis started	2021-05-24 04:20:45.054945
Analysis finished	2021-05-24 04:22:15.838439
Duration	1 minute and 30.78 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Fecha Registro
Date

Distinct	1234
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Minimum	2017-08-24 00:00:00
Maximum	2021-03-25 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Id Modificado
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	31734
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15936.7554

Minimum	1
Maximum	31854
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1606.65
Q1	7982.25
median	15938.5
Q3	23890.75
95-th percentile	30262.35
Maximum	31854
Range	31853
Interquartile range (IQR)	15908.5

Descriptive statistics

Standard deviation	9188.124201
Coefficient of variation (CV)	0.5765366894
Kurtosis	-1.199264991
Mean	15936.7554
Median Absolute Deviation (MAD)	7954.5
Skewness	-0.0001147318079
Sum	505736996
Variance	84421626.33
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
12979	1	< 0.1%
8881	1	< 0.1%
10928	1	< 0.1%
21151	1	< 0.1%
23198	1	< 0.1%
17053	1	< 0.1%
19100	1	< 0.1%
29339	1	< 0.1%
31386	1	< 0.1%
Other values (31724)	31724	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
31854	1	< 0.1%
31853	1	< 0.1%
31852	1	< 0.1%
31851	1	< 0.1%
31850	1	< 0.1%
31849	1	< 0.1%
31848	1	< 0.1%
31847	1	< 0.1%
31846	1	< 0.1%
31845	1	< 0.1%

Tipo Cliente
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Ualet puro	31734

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	317340
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ualet puro
2nd row	Ualet puro
3rd row	Ualet puro
4th row	Ualet puro
5th row	Ualet puro

Common Values

Value	Count	Frequency (%)
Ualet puro	31734	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
puro	31734	50.0%
ualet	31734	50.0%

Most occurring characters

Value	Count	Frequency (%)
U	31734	10.0%
a	31734	10.0%
l	31734	10.0%
e	31734	10.0%
t	31734	10.0%
	31734	10.0%
p	31734	10.0%
u	31734	10.0%
r	31734	10.0%
o	31734	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	253872	80.0%
Uppercase Letter	31734	10.0%
Space Separator	31734	10.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	31734	12.5%
l	31734	12.5%
e	31734	12.5%
t	31734	12.5%
p	31734	12.5%
u	31734	12.5%
r	31734	12.5%
o	31734	12.5%

Uppercase Letter

Value	Count	Frequency (%)
U	31734	100.0%

Space Separator

Value	Count	Frequency (%)
	31734	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	285606	90.0%
Common	31734	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	31734	11.1%
a	31734	11.1%
l	31734	11.1%
e	31734	11.1%
t	31734	11.1%
p	31734	11.1%
u	31734	11.1%
r	31734	11.1%
o	31734	11.1%

Common

Value	Count	Frequency (%)
	31734	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	317340	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	31734	10.0%
a	31734	10.0%
l	31734	10.0%
e	31734	10.0%
t	31734	10.0%
	31734	10.0%
p	31734	10.0%
u	31734	10.0%
r	31734	10.0%
o	31734	10.0%

Primer Nombre
Categorical

HIGH CARDINALITY

Distinct	3187
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

JUAN	2367
CARLOS	901
LUIS	888
ANDRES	796
JOSE	706
Other values (3182)	26076

Length

Max length	13
Median length	6
Mean length	5.76353438
Min length	1

Characters and Unicode

Total characters	182900
Distinct characters	48
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2019 ?
Unique (%)	6.4%

Sample

1st row	DANIEL
2nd row	JESSICA
3rd row	DAVID
4th row	DIEGO
5th row	NICOLÁS

Common Values

Value	Count	Frequency (%)
JUAN	2367	7.5%
CARLOS	901	2.8%
LUIS	888	2.8%
ANDRES	796	2.5%
JOSE	706	2.2%
DANIEL	677	2.1%
DIEGO	634	2.0%
CRISTIAN	523	1.6%
JORGE	516	1.6%
DAVID	508	1.6%
Other values (3177)	23218	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
juan	2370	7.5%
carlos	901	2.8%
luis	888	2.8%
andres	796	2.5%
jose	706	2.2%
daniel	678	2.1%
diego	634	2.0%
cristian	523	1.6%
jorge	516	1.6%
david	509	1.6%
Other values (3163)	23213	73.1%

Most occurring characters

Value	Count	Frequency (%)
A	26919	14.7%
N	18223	10.0%
I	16600	9.1%
E	15397	8.4%
R	14116	7.7%
O	13181	7.2%
L	11072	6.1%
S	11035	6.0%
D	8382	4.6%
J	7903	4.3%
Other values (38)	40072	21.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	182866	> 99.9%
Other Punctuation	9	< 0.1%
Modifier Symbol	8	< 0.1%
Math Symbol	6	< 0.1%
Decimal Number	6	< 0.1%
Final Punctuation	2	< 0.1%
Open Punctuation	2	< 0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	26919	14.7%
N	18223	10.0%
I	16600	9.1%
E	15397	8.4%
R	14116	7.7%
O	13181	7.2%
L	11072	6.1%
S	11035	6.0%
D	8382	4.6%
J	7903	4.3%
Other values (23)	40038	21.9%

Other Punctuation

Value	Count	Frequency (%)
'	3	33.3%
*	2	22.2%
"	1	11.1%
\	1	11.1%
/	1	11.1%
:	1	11.1%

Math Symbol

Value	Count	Frequency (%)
~	4	66.7%
\|	2	33.3%

Decimal Number

Value	Count	Frequency (%)
1	5	83.3%
0	1	16.7%

Open Punctuation

Value	Count	Frequency (%)
(	1	50.0%
[	1	50.0%

Modifier Symbol

Value	Count	Frequency (%)
^	8	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	182866	> 99.9%
Common	34	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	26919	14.7%
N	18223	10.0%
I	16600	9.1%
E	15397	8.4%
R	14116	7.7%
O	13181	7.2%
L	11072	6.1%
S	11035	6.0%
D	8382	4.6%
J	7903	4.3%
Other values (23)	40038	21.9%

Common

Value	Count	Frequency (%)
^	8	23.5%
1	5	14.7%
~	4	11.8%
'	3	8.8%
\|	2	5.9%
*	2	5.9%
»	2	5.9%
"	1	2.9%
(	1	2.9%
«	1	2.9%
Other values (5)	5	14.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181822	99.4%
Latin 1 Sup	1078	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	26919	14.8%
N	18223	10.0%
I	16600	9.1%
E	15397	8.5%
R	14116	7.8%
O	13181	7.2%
L	11072	6.1%
S	11035	6.1%
D	8382	4.6%
J	7903	4.3%
Other values (29)	38994	21.4%

Latin 1 Sup

Value	Count	Frequency (%)
É	488	45.3%
Á	357	33.1%
Í	131	12.2%
Ú	59	5.5%
Ó	37	3.4%
Ñ	2	0.2%
»	2	0.2%
Ì	1	0.1%
«	1	0.1%

Perfil Riesgo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

2	13330
3	10961
4	4098
1	2716
5	629

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	31734
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Most occurring characters

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31734	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31734	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31734	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	13330	42.0%
3	10961	34.5%
4	4098	12.9%
1	2716	8.6%
5	629	2.0%

Riesgo
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Aventurero	13330
Estratega	10961
Planeador	4098
Valiente	2716
Cuidadoso	629

Length

Max length	10
Median length	9
Mean length	9.334467763
Min length	8

Characters and Unicode

Total characters	296220
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Valiente
2nd row	Estratega
3rd row	Aventurero
4th row	Aventurero
5th row	Valiente

Common Values

Value	Count	Frequency (%)
Aventurero	13330	42.0%
Estratega	10961	34.5%
Planeador	4098	12.9%
Valiente	2716	8.6%
Cuidadoso	629	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
aventurero	13330	42.0%
estratega	10961	34.5%
planeador	4098	12.9%
valiente	2716	8.6%
cuidadoso	629	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	47151	15.9%
r	41719	14.1%
t	37968	12.8%
a	33463	11.3%
n	20144	6.8%
o	18686	6.3%
u	13959	4.7%
A	13330	4.5%
v	13330	4.5%
s	11590	3.9%
Other values (8)	44880	15.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	264486	89.3%
Uppercase Letter	31734	10.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	47151	17.8%
r	41719	15.8%
t	37968	14.4%
a	33463	12.7%
n	20144	7.6%
o	18686	7.1%
u	13959	5.3%
v	13330	5.0%
s	11590	4.4%
g	10961	4.1%
Other values (3)	15515	5.9%

Uppercase Letter

Value	Count	Frequency (%)
A	13330	42.0%
E	10961	34.5%
P	4098	12.9%
V	2716	8.6%
C	629	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	296220	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	47151	15.9%
r	41719	14.1%
t	37968	12.8%
a	33463	11.3%
n	20144	6.8%
o	18686	6.3%
u	13959	4.7%
A	13330	4.5%
v	13330	4.5%
s	11590	3.9%
Other values (8)	44880	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	296220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	47151	15.9%
r	41719	14.1%
t	37968	12.8%
a	33463	11.3%
n	20144	6.8%
o	18686	6.3%
u	13959	4.7%
A	13330	4.5%
v	13330	4.5%
s	11590	3.9%
Other values (8)	44880	15.2%

Codigo CIIU
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	311
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	262.4177538

Minimum	0
Maximum	9820
Zeros	20155
Zeros (%)	63.5%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	10
95-th percentile	496
Maximum	9820
Range	9820
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	1253.606277
Coefficient of variation (CV)	4.777139728
Kurtosis	28.24183142
Mean	262.4177538
Median Absolute Deviation (MAD)	0
Skewness	5.362802937
Sum	8327565
Variance	1571528.698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20155	63.5%
10	5621	17.7%
90	1921	6.1%
81	1876	5.9%
496	559	1.8%
497	136	0.4%
6201	91	0.3%
1	77	0.2%
7110	40	0.1%
6920	39	0.1%
Other values (301)	1219	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20155	63.5%
1	77	0.2%
6	1	< 0.1%
10	5621	17.7%
20	1	< 0.1%
62	1	< 0.1%
67	1	< 0.1%
81	1876	5.9%
82	38	0.1%
85	1	< 0.1%

Value	Count	Frequency (%)
9820	1	< 0.1%
9700	3	< 0.1%
9609	6	< 0.1%
9602	10	< 0.1%
9601	1	< 0.1%
9521	5	< 0.1%
9512	3	< 0.1%
9511	9	< 0.1%
9412	1	< 0.1%
9329	1	< 0.1%

CIIU
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Bajo	24003
Medio	5636
Sin Clasificar	2002
Alto	93

Length

Max length	14
Median length	4
Mean length	4.80847041
Min length	4

Characters and Unicode

Total characters	152592
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medio
2nd row	Alto
3rd row	Sin Clasificar
4th row	Alto
5th row	Alto

Common Values

Value	Count	Frequency (%)
Bajo	24003	75.6%
Medio	5636	17.8%
Sin Clasificar	2002	6.3%
Alto	93	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bajo	24003	71.1%
medio	5636	16.7%
clasificar	2002	5.9%
sin	2002	5.9%
alto	93	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	29732	19.5%
a	28007	18.4%
B	24003	15.7%
j	24003	15.7%
i	11642	7.6%
M	5636	3.7%
e	5636	3.7%
d	5636	3.7%
l	2095	1.4%
S	2002	1.3%
Other values (9)	14200	9.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116854	76.6%
Uppercase Letter	33736	22.1%
Space Separator	2002	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	29732	25.4%
a	28007	24.0%
j	24003	20.5%
i	11642	10.0%
e	5636	4.8%
d	5636	4.8%
l	2095	1.8%
n	2002	1.7%
s	2002	1.7%
f	2002	1.7%
Other values (3)	4097	3.5%

Uppercase Letter

Value	Count	Frequency (%)
B	24003	71.1%
M	5636	16.7%
S	2002	5.9%
C	2002	5.9%
A	93	0.3%

Space Separator

Value	Count	Frequency (%)
	2002	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	150590	98.7%
Common	2002	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	29732	19.7%
a	28007	18.6%
B	24003	15.9%
j	24003	15.9%
i	11642	7.7%
M	5636	3.7%
e	5636	3.7%
d	5636	3.7%
l	2095	1.4%
S	2002	1.3%
Other values (8)	12198	8.1%

Common

Value	Count	Frequency (%)
	2002	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	152592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	29732	19.5%
a	28007	18.4%
B	24003	15.7%
j	24003	15.7%
i	11642	7.6%
M	5636	3.7%
e	5636	3.7%
d	5636	3.7%
l	2095	1.4%
S	2002	1.3%
Other values (9)	14200	9.3%

Fecha de Nacimiento
Date

Distinct	10468
Distinct (%)	33.0%
Missing	1
Missing (%)	< 0.1%
Memory size	248.0 KiB

Minimum	1934-07-30 00:00:00
Maximum	2026-08-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Cod_Ciudad_Nac.
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6849
Distinct (%)	21.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	29376.87527

Minimum	5001
Maximum	229309
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	5001
5-th percentile	5001
Q1	11001
median	25430
Q3	36386
95-th percentile	76001
Maximum	229309
Range	224308
Interquartile range (IQR)	25385

Descriptive statistics

Standard deviation	23209.14872
Coefficient of variation (CV)	0.790048244
Kurtosis	4.002213499
Mean	29376.87527
Median Absolute Deviation (MAD)	14429
Skewness	1.419535783
Sum	932216383
Variance	538664584.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11001	7047	22.2%
5001	1919	6.0%
76001	1145	3.6%
8001	666	2.1%
12244	627	2.0%
68001	495	1.6%
13001	367	1.2%
54001	328	1.0%
17001	309	1.0%
66001	290	0.9%
Other values (6839)	18540	58.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5001	1919	6.0%
5002	17	0.1%
5004	1	< 0.1%
5021	5	< 0.1%
5030	8	< 0.1%
5031	10	< 0.1%
5034	19	0.1%
5036	1	< 0.1%
5038	2	< 0.1%
5040	5	< 0.1%

Value	Count	Frequency (%)
229309	1	< 0.1%
209839	2	< 0.1%
209832	1	< 0.1%
209758	24	0.1%
209692	1	< 0.1%
209625	2	< 0.1%
208094	1	< 0.1%
207962	1	< 0.1%
204991	1	< 0.1%
204106	1	< 0.1%

Ciudad
Categorical

HIGH CARDINALITY

Distinct	844
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Sin ciudad	10334
BOGOTA D.C.	7047
MEDELLIN	1919
CALI	1145
BARRANQUILLA	666
Other values (839)	10623

Length

Max length	34
Median length	10
Mean length	9.426640197
Min length	3

Characters and Unicode

Total characters	299145
Distinct characters	39
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	161 ?
Unique (%)	0.5%

Sample

1st row	BOGOTA D.C.
2nd row	BOGOTA D.C.
3rd row	BOGOTA D.C.
4th row	BOGOTA D.C.
5th row	BOGOTA D.C.

Common Values

Value	Count	Frequency (%)
Sin ciudad	10334	32.6%
BOGOTA D.C.	7047	22.2%
MEDELLIN	1919	6.0%
CALI	1145	3.6%
BARRANQUILLA	666	2.1%
BUCARAMANGA	495	1.6%
CARTAGENA	367	1.2%
CUCUTA	328	1.0%
MANIZALES	309	1.0%
PEREIRA	290	0.9%
Other values (834)	8834	27.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ciudad	10348	20.1%
sin	10334	20.1%
bogota	7047	13.7%
d.c	7047	13.7%
medellin	1919	3.7%
cali	1145	2.2%
barranquilla	666	1.3%
bucaramanga	495	1.0%
cartagena	369	0.7%
de	359	0.7%
Other values (845)	11659	22.7%

Most occurring characters

Value	Count	Frequency (%)
A	28922	9.7%
i	20668	6.9%
d	20668	6.9%
	19654	6.6%
O	19377	6.5%
.	14094	4.7%
S	13717	4.6%
C	12969	4.3%
T	11072	3.7%
D	10975	3.7%
Other values (29)	127029	42.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	182665	61.1%
Lowercase Letter	82672	27.6%
Space Separator	19654	6.6%
Other Punctuation	14094	4.7%
Open Punctuation	30	< 0.1%
Close Punctuation	30	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	28922	15.8%
O	19377	10.6%
S	13717	7.5%
C	12969	7.1%
T	11072	6.1%
D	10975	6.0%
L	10784	5.9%
I	10425	5.7%
E	10424	5.7%
B	10016	5.5%
Other values (19)	43984	24.1%

Lowercase Letter

Value	Count	Frequency (%)
i	20668	25.0%
d	20668	25.0%
n	10334	12.5%
c	10334	12.5%
u	10334	12.5%
a	10334	12.5%

Space Separator

Value	Count	Frequency (%)
	19654	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14094	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	30	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	265337	88.7%
Common	33808	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	28922	10.9%
i	20668	7.8%
d	20668	7.8%
O	19377	7.3%
S	13717	5.2%
C	12969	4.9%
T	11072	4.2%
D	10975	4.1%
L	10784	4.1%
I	10425	3.9%
Other values (25)	105760	39.9%

Common

Value	Count	Frequency (%)
	19654	58.1%
.	14094	41.7%
(	30	0.1%
)	30	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	299035	> 99.9%
Latin 1 Sup	110	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	28922	9.7%
i	20668	6.9%
d	20668	6.9%
	19654	6.6%
O	19377	6.5%
.	14094	4.7%
S	13717	4.6%
C	12969	4.3%
T	11072	3.7%
D	10975	3.7%
Other values (25)	126919	42.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	94	85.5%
Ú	6	5.5%
Í	6	5.5%
Ó	4	3.6%

Cod Dpto.Nacimto.
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.82000378

Minimum	0
Maximum	99
Zeros	797
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	11
median	11
Q3	52
95-th percentile	76
Maximum	99
Range	99
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	26.34662842
Coefficient of variation (CV)	0.9470389949
Kurtosis	-0.7399373098
Mean	27.82000378
Median Absolute Deviation (MAD)	6
Skewness	0.9425528167
Sum	882840
Variance	694.1448291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
11	9928	31.3%
5	4578	14.4%
76	2640	8.3%
68	1402	4.4%
25	1334	4.2%
8	1136	3.6%
15	1003	3.2%
73	833	2.6%
17	801	2.5%
0	797	2.5%
Other values (24)	7282	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	797	2.5%
5	4578	14.4%
8	1136	3.6%
11	9928	31.3%
13	764	2.4%
15	1003	3.2%
17	801	2.5%
18	202	0.6%
19	436	1.4%
20	401	1.3%

Value	Count	Frequency (%)
99	12	< 0.1%
97	7	< 0.1%
95	41	0.1%
94	13	< 0.1%
91	43	0.1%
88	47	0.1%
86	142	0.4%
85	152	0.5%
81	118	0.4%
76	2640	8.3%

Departamento
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

BOGOTA	9928
ANTIOQUIA	4578
VALLE DEL CAUCA	2640
SANTANDER	1402
CUNDINAMARCA	1334
Other values (29)	11852

Length

Max length	18
Median length	7
Mean length	8.317987017
Min length	4

Characters and Unicode

Total characters	263963
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BOGOTA
2nd row	BOGOTA
3rd row	BOGOTA
4th row	BOGOTA
5th row	BOGOTA

Common Values

Value	Count	Frequency (%)
BOGOTA	9928	31.3%
ANTIOQUIA	4578	14.4%
VALLE DEL CAUCA	2640	8.3%
SANTANDER	1402	4.4%
CUNDINAMARCA	1334	4.2%
ATLANTICO	1136	3.6%
BOYACA	1003	3.2%
TOLIMA	833	2.6%
CALDAS	801	2.5%
Sin departamento	797	2.5%
Other values (24)	7282	22.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bogota	9928	25.1%
antioquia	4578	11.6%
cauca	3076	7.8%
valle	2640	6.7%
del	2640	6.7%
santander	2143	5.4%
cundinamarca	1334	3.4%
atlantico	1136	2.9%
boyaca	1003	2.5%
tolima	833	2.1%
Other values (29)	10237	25.9%

Most occurring characters

Value	Count	Frequency (%)
A	51460	19.5%
O	31405	11.9%
T	21327	8.1%
I	15956	6.0%
N	15065	5.7%
C	13732	5.2%
L	13187	5.0%
B	12236	4.6%
U	11071	4.2%
E	10916	4.1%
Other values (24)	67608	25.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	244991	92.8%
Lowercase Letter	11158	4.2%
Space Separator	7814	3.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	51460	21.0%
O	31405	12.8%
T	21327	8.7%
I	15956	6.5%
N	15065	6.1%
C	13732	5.6%
L	13187	5.4%
B	12236	5.0%
U	11071	4.5%
E	10916	4.5%
Other values (13)	48636	19.9%

Lowercase Letter

Value	Count	Frequency (%)
n	1594	14.3%
e	1594	14.3%
a	1594	14.3%
t	1594	14.3%
i	797	7.1%
d	797	7.1%
p	797	7.1%
r	797	7.1%
m	797	7.1%
o	797	7.1%

Space Separator

Value	Count	Frequency (%)
	7814	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	256149	97.0%
Common	7814	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	51460	20.1%
O	31405	12.3%
T	21327	8.3%
I	15956	6.2%
N	15065	5.9%
C	13732	5.4%
L	13187	5.1%
B	12236	4.8%
U	11071	4.3%
E	10916	4.3%
Other values (23)	59794	23.3%

Common

Value	Count	Frequency (%)
	7814	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263301	99.7%
Latin 1 Sup	662	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	51460	19.5%
O	31405	11.9%
T	21327	8.1%
I	15956	6.1%
N	15065	5.7%
C	13732	5.2%
L	13187	5.0%
B	12236	4.6%
U	11071	4.2%
E	10916	4.1%
Other values (23)	66946	25.4%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	662	100.0%

Cod. Ocupacion
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7012352682

Minimum	0
Maximum	10
Zeros	20158
Zeros (%)	63.5%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	3
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.012922081
Coefficient of variation (CV)	1.444482511
Kurtosis	-0.1457204395
Mean	0.7012352682
Median Absolute Deviation (MAD)	0
Skewness	1.06447323
Sum	22253
Variance	1.026011142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	20158	63.5%
2	6376	20.1%
1	3085	9.7%
3	2050	6.5%
4	64	0.2%
10	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20158	63.5%
1	3085	9.7%
2	6376	20.1%
3	2050	6.5%
4	64	0.2%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
4	64	0.2%
3	2050	6.5%
2	6376	20.1%
1	3085	9.7%
0	20158	63.5%

Ocupacion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

Codigo no esta Creado	20223
EMPLEADO	6376
INDEPENDIENTE	3085
ESTUDIANTE	2050

Length

Max length	21
Median length	21
Mean length	16.899729
Min length	8

Characters and Unicode

Total characters	536296
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EMPLEADO
2nd row	ESTUDIANTE
3rd row	EMPLEADO
4th row	EMPLEADO
5th row	ESTUDIANTE

Common Values

Value	Count	Frequency (%)
Codigo no esta Creado	20223	63.7%
EMPLEADO	6376	20.1%
INDEPENDIENTE	3085	9.7%
ESTUDIANTE	2050	6.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
codigo	20223	21.9%
creado	20223	21.9%
no	20223	21.9%
esta	20223	21.9%
empleado	6376	6.9%
independiente	3085	3.3%
estudiante	2050	2.2%

Most occurring characters

Value	Count	Frequency (%)
o	80892	15.1%
	60669	11.3%
C	40446	7.5%
d	40446	7.5%
e	40446	7.5%
a	40446	7.5%
E	29192	5.4%
i	20223	3.8%
g	20223	3.8%
n	20223	3.8%
Other values (14)	143090	26.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	323568	60.3%
Uppercase Letter	152059	28.4%
Space Separator	60669	11.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	40446	26.6%
E	29192	19.2%
D	14596	9.6%
N	11305	7.4%
P	9461	6.2%
A	8426	5.5%
I	8220	5.4%
T	7185	4.7%
M	6376	4.2%
L	6376	4.2%
Other values (3)	10476	6.9%

Lowercase Letter

Value	Count	Frequency (%)
o	80892	25.0%
d	40446	12.5%
e	40446	12.5%
a	40446	12.5%
i	20223	6.2%
g	20223	6.2%
n	20223	6.2%
s	20223	6.2%
t	20223	6.2%
r	20223	6.2%

Space Separator

Value	Count	Frequency (%)
	60669	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	475627	88.7%
Common	60669	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	80892	17.0%
C	40446	8.5%
d	40446	8.5%
e	40446	8.5%
a	40446	8.5%
E	29192	6.1%
i	20223	4.3%
g	20223	4.3%
n	20223	4.3%
s	20223	4.3%
Other values (13)	122867	25.8%

Common

Value	Count	Frequency (%)
	60669	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	536296	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	80892	15.1%
	60669	11.3%
C	40446	7.5%
d	40446	7.5%
e	40446	7.5%
a	40446	7.5%
E	29192	5.4%
i	20223	3.8%
g	20223	3.8%
n	20223	3.8%
Other values (14)	143090	26.7%

Ingresos_mensuales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	929
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4231418.131

Minimum	0
Maximum	1 × 10¹¹
Zeros	20157
Zeros (%)	63.5%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1000000
95-th percentile	4500000
Maximum	1 × 10¹¹
Range	1 × 10¹¹
Interquartile range (IQR)	1000000

Descriptive statistics

Standard deviation	561578256
Coefficient of variation (CV)	132.7163231
Kurtosis	31682.20127
Mean	4231418.131
Median Absolute Deviation (MAD)	0
Skewness	177.9249995
Sum	1.34279823 × 10¹¹
Variance	3.153701377 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20157	63.5%
1000000	1071	3.4%
2000000	810	2.6%
1500000	551	1.7%
800000	507	1.6%
3000000	492	1.6%
1200000	462	1.5%
500000	348	1.1%
2500000	307	1.0%
5000000	303	1.0%
Other values (919)	6726	21.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20157	63.5%
400	1	< 0.1%
4102	1	< 0.1%
10000	86	0.3%
12000	1	< 0.1%
15000	5	< 0.1%
17000	1	< 0.1%
20000	33	0.1%
25000	5	< 0.1%
30000	12	< 0.1%

Value	Count	Frequency (%)
1 × 10¹¹	1	< 0.1%
2151495550	1	< 0.1%
1770000000	1	< 0.1%
345345345	1	< 0.1%
231000000	1	< 0.1%
150000000	1	< 0.1%
90000000	1	< 0.1%
85000000	1	< 0.1%
82811600	1	< 0.1%
70000000	1	< 0.1%

Egresos_mensuales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	389
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3801602.816

Minimum	0
Maximum	1.0000001 × 10¹¹
Zeros	20180
Zeros (%)	63.6%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	500000
95-th percentile	2500000
Maximum	1.0000001 × 10¹¹
Range	1.0000001 × 10¹¹
Interquartile range (IQR)	500000

Descriptive statistics

Standard deviation	561438769.5
Coefficient of variation (CV)	147.6847521
Kurtosis	31714.2503
Mean	3801602.816
Median Absolute Deviation (MAD)	0
Skewness	178.0577763
Sum	1.206400638 × 10¹¹
Variance	3.152134919 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20180	63.6%
1000000	872	2.7%
500000	840	2.6%
1500000	640	2.0%
2000000	629	2.0%
800000	626	2.0%
600000	609	1.9%
400000	489	1.5%
700000	444	1.4%
300000	398	1.3%
Other values (379)	6007	18.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20180	63.6%
1	16	0.1%
2	1	< 0.1%
5	1	< 0.1%
10	6	< 0.1%
12	1	< 0.1%
20	1	< 0.1%
50	1	< 0.1%
60	1	< 0.1%
100	3	< 0.1%

Value	Count	Frequency (%)
1.0000001 × 10¹¹	1	< 0.1%
1250000000	1	< 0.1%
866299200	1	< 0.1%
600000404	1	< 0.1%
600000000	1	< 0.1%
100000000	1	< 0.1%
40000000	1	< 0.1%
35000000	2	< 0.1%
33000000	1	< 0.1%
30000000	3	< 0.1%

Otros_Ing_Mensuales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	206
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101517.6671

Minimum	0
Maximum	258000000
Zeros	26743
Zeros (%)	84.3%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	500000
Maximum	258000000
Range	258000000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1670029.091
Coefficient of variation (CV)	16.45062519
Kurtosis	18056.76579
Mean	101517.6671
Median Absolute Deviation (MAD)	0
Skewness	120.9799996
Sum	3221561647
Variance	2.788997166 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	26743	84.3%
100000	734	2.3%
200000	674	2.1%
500000	484	1.5%
1000000	338	1.1%
50000	316	1.0%
300000	283	0.9%
1	211	0.7%
10000	174	0.5%
400000	149	0.5%
Other values (196)	1628	5.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26743	84.3%
1	211	0.7%
2	2	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
10	29	0.1%
12	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
258000000	1	< 0.1%
60000000	1	< 0.1%
50000000	2	< 0.1%
45000000	1	< 0.1%
30000000	2	< 0.1%
26338000	1	< 0.1%
25000000	1	< 0.1%
20000000	6	< 0.1%
18000000	1	< 0.1%
15000000	2	< 0.1%

Total_Activos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	663
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22846094.16

Minimum	0
Maximum	1 × 10¹¹
Zeros	20176
Zeros (%)	63.6%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1000000
95-th percentile	80000000
Maximum	1 × 10¹¹
Range	1 × 10¹¹
Interquartile range (IQR)	1000000

Descriptive statistics

Standard deviation	615480671.6
Coefficient of variation (CV)	26.9403018
Kurtosis	22502.69339
Mean	22846094.16
Median Absolute Deviation (MAD)	0
Skewness	143.832213
Sum	7.249979521 × 10¹¹
Variance	3.788164571 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20176	63.6%
1000000	930	2.9%
5000000	626	2.0%
10000000	622	2.0%
2000000	553	1.7%
100000	481	1.5%
500000	383	1.2%
3000000	348	1.1%
20000000	342	1.1%
200000	295	0.9%
Other values (653)	6978	22.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20176	63.6%
1	3	< 0.1%
10	1	< 0.1%
4000	1	< 0.1%
10000	19	0.1%
10100	1	< 0.1%
11000	3	< 0.1%
13000	3	< 0.1%
13001	1	< 0.1%
14000	3	< 0.1%

Value	Count	Frequency (%)
1 × 10¹¹	1	< 0.1%
4 × 10¹⁰	1	< 0.1%
5000000000	3	< 0.1%
3559000000	1	< 0.1%
3500000000	1	< 0.1%
3435000000	1	< 0.1%
3397874000	1	< 0.1%
3000000000	2	< 0.1%
2400000000	1	< 0.1%
2229850000	1	< 0.1%

Total_Pasivos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	515
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7133180.942

Minimum	0
Maximum	1.740000003 × 10¹⁰
Zeros	22580
Zeros (%)	71.2%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	100000
95-th percentile	30000000
Maximum	1.740000003 × 10¹⁰
Range	1.740000003 × 10¹⁰
Interquartile range (IQR)	100000

Descriptive statistics

Standard deviation	106238882.9
Coefficient of variation (CV)	14.89361952
Kurtosis	22656.77968
Mean	7133180.942
Median Absolute Deviation (MAD)	0
Skewness	139.5551282
Sum	2.26364364 × 10¹¹
Variance	1.128670024 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	22580	71.2%
1000000	571	1.8%
500000	407	1.3%
100000	389	1.2%
2000000	361	1.1%
5000000	334	1.1%
200000	302	1.0%
3000000	254	0.8%
10000000	251	0.8%
300000	242	0.8%
Other values (505)	6043	19.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22580	71.2%
1	224	0.7%
2	5	< 0.1%
3	5	< 0.1%
4	1	< 0.1%
5	4	< 0.1%
6	1	< 0.1%
10	28	0.1%
11	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
1.740000003 × 10¹⁰	1	< 0.1%
2000000826	1	< 0.1%
2000000000	1	< 0.1%
1950000000	1	< 0.1%
1800000000	1	< 0.1%
1300000000	1	< 0.1%
1187990000	1	< 0.1%
1000000008	1	< 0.1%
1000000000	2	< 0.1%
900000000	1	< 0.1%

Saldo
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	7948
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	157603.5221

Minimum	0
Maximum	231883698.8
Zeros	22013
Zeros (%)	69.4%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	10631.5675
95-th percentile	318416.8165
Maximum	231883698.8
Range	231883698.8
Interquartile range (IQR)	10631.5675

Descriptive statistics

Standard deviation	2115046.623
Coefficient of variation (CV)	13.42004668
Kurtosis	6162.268949
Mean	157603.5221
Median Absolute Deviation (MAD)	0
Skewness	66.44705337
Sum	5001390171
Variance	4.473422219 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	22013	69.4%
47842.85	269	0.8%
28705.18	143	0.5%
95685.19	52	0.2%
47841.65	29	0.1%
19118.63	13	< 0.1%
10556.67	13	< 0.1%
9883.8	11	< 0.1%
10535.84	11	< 0.1%
21114.47	10	< 0.1%
Other values (7938)	9170	28.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22013	69.4%
761.69	1	< 0.1%
1544.01	1	< 0.1%
2073.39	1	< 0.1%
3222.72	1	< 0.1%
3902.74	1	< 0.1%
4038.52	1	< 0.1%
4285.2	1	< 0.1%
5560.61	1	< 0.1%
5683.68	1	< 0.1%

Value	Count	Frequency (%)
231883698.8	1	< 0.1%
172734749.8	1	< 0.1%
88879567.65	1	< 0.1%
76269924.11	1	< 0.1%
59572485.76	1	< 0.1%
54304557.64	1	< 0.1%
49085033.09	1	< 0.1%
48625237.63	1	< 0.1%
43102468.91	1	< 0.1%
35024793.13	1	< 0.1%

Transacciones
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	66
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.781338627

Minimum	0
Maximum	82
Zeros	12588
Zeros (%)	39.7%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	11
Maximum	82
Range	82
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	4.896140971
Coefficient of variation (CV)	1.760354141
Kurtosis	31.74335327
Mean	2.781338627
Median Absolute Deviation (MAD)	1
Skewness	4.480378013
Sum	88263
Variance	23.97219641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12588	39.7%
2	5184	16.3%
1	4182	13.2%
5	2013	6.3%
3	1900	6.0%
6	1251	3.9%
4	1130	3.6%
7	711	2.2%
8	524	1.7%
9	377	1.2%
Other values (56)	1874	5.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12588	39.7%
1	4182	13.2%
2	5184	16.3%
3	1900	6.0%
4	1130	3.6%
5	2013	6.3%
6	1251	3.9%
7	711	2.2%
8	524	1.7%
9	377	1.2%

Value	Count	Frequency (%)
82	1	< 0.1%
73	2	< 0.1%
67	1	< 0.1%
66	1	< 0.1%
63	2	< 0.1%
61	1	< 0.1%
60	1	< 0.1%
58	2	< 0.1%
57	1	< 0.1%
56	1	< 0.1%

Transacciones Adiciones
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	60
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.87965589

Minimum	0
Maximum	77
Zeros	12593
Zeros (%)	39.7%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	7
Maximum	77
Range	77
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	3.729794485
Coefficient of variation (CV)	1.984296437
Kurtosis	46.48523195
Mean	1.87965589
Median Absolute Deviation (MAD)	1
Skewness	5.477907699
Sum	59649
Variance	13.9113669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12593	39.7%
1	9399	29.6%
3	3146	9.9%
2	2450	7.7%
4	1151	3.6%
5	655	2.1%
6	450	1.4%
7	315	1.0%
8	253	0.8%
9	183	0.6%
Other values (50)	1139	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12593	39.7%
1	9399	29.6%
2	2450	7.7%
3	3146	9.9%
4	1151	3.6%
5	655	2.1%
6	450	1.4%
7	315	1.0%
8	253	0.8%
9	183	0.6%

Value	Count	Frequency (%)
77	1	< 0.1%
61	1	< 0.1%
59	1	< 0.1%
57	1	< 0.1%
56	1	< 0.1%
55	1	< 0.1%
54	1	< 0.1%
53	1	< 0.1%
52	1	< 0.1%
51	1	< 0.1%

Transacciones Retiros
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9016827378

Minimum	0
Maximum	35
Zeros	18546
Zeros (%)	58.4%
Negative	0
Negative (%)	0.0%
Memory size	248.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	35
Range	35
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.645622084
Coefficient of variation (CV)	1.825056658
Kurtosis	37.82531476
Mean	0.9016827378
Median Absolute Deviation (MAD)	0
Skewness	4.361102423
Sum	28614
Variance	2.708072043
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	18546	58.4%
1	6306	19.9%
2	3310	10.4%
3	1855	5.8%
4	725	2.3%
5	347	1.1%
6	249	0.8%
8	104	0.3%
7	83	0.3%
9	56	0.2%
Other values (19)	153	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	18546	58.4%
1	6306	19.9%
2	3310	10.4%
3	1855	5.8%
4	725	2.3%
5	347	1.1%
6	249	0.8%
7	83	0.3%
8	104	0.3%
9	56	0.2%

Value	Count	Frequency (%)
35	1	< 0.1%
34	1	< 0.1%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	2	< 0.1%
20	2	< 0.1%
19	2	< 0.1%

cant
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.0 KiB

1	31734

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	31734
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	31734	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	31734	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	31734	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31734	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	31734	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31734	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	31734	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31734	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	31734	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Fecha Registro	Id Modificado	Tipo Cliente	Primer Nombre	Perfil Riesgo	Riesgo	Codigo CIIU	CIIU	Fecha de Nacimiento	Cod_Ciudad_Nac.	Ciudad	Cod Dpto.Nacimto.	Departamento	Cod. Ocupacion	Ocupacion	Ingresos_mensuales	Egresos_mensuales	Otros_Ing_Mensuales	Total_Activos	Total_Pasivos	Saldo	Transacciones	Transacciones Adiciones	Transacciones Retiros	cant
0	2017-08-24	1	Ualet puro	DANIEL	1	Valiente	10	Medio	1991-11-12	11001.0	BOGOTA D.C.	11	BOGOTA	2	EMPLEADO	5300000	1500000	0	340000000	40000000	0.00	8	6	2	1
1	2017-08-24	2	Ualet puro	JESSICA	3	Estratega	112	Alto	1992-05-25	11001.0	BOGOTA D.C.	11	BOGOTA	3	ESTUDIANTE	2588888	555558	888888	0	0	0.00	2	1	1	1
2	2017-08-24	3	Ualet puro	DAVID	2	Aventurero	7210	Sin Clasificar	1995-06-22	11001.0	BOGOTA D.C.	11	BOGOTA	2	EMPLEADO	737000	650000	0	120000000	7000000	0.00	0	0	0	1
3	2017-08-24	4	Ualet puro	DIEGO	2	Aventurero	1	Alto	1988-05-01	11001.0	BOGOTA D.C.	11	BOGOTA	2	EMPLEADO	5134000	4800000	0	100000000	80000000	0.00	0	0	0	1
4	2017-08-24	5	Ualet puro	NICOLÁS	1	Valiente	1	Alto	1995-05-05	11001.0	BOGOTA D.C.	11	BOGOTA	3	ESTUDIANTE	700000	0	100000	0	0	0.00	6	5	1	1
5	2017-08-24	6	Ualet puro	JUAN	1	Valiente	1	Alto	1992-08-13	6183.0	Sin ciudad	5	ANTIOQUIA	2	EMPLEADO	5000000	3000000	0	100000000	2000000	0.00	4	3	1	1
6	2017-08-24	7	Ualet puro	DIANA	2	Aventurero	1	Alto	1986-03-28	6249.0	Sin ciudad	8	ATLANTICO	2	EMPLEADO	14500000	9000000	0	100000000	15000000	64740.47	8	6	2	1
7	2017-08-24	8	Ualet puro	CAMILO	1	Valiente	1	Alto	1991-04-02	7182.0	Sin ciudad	76	VALLE DEL CAUCA	1	INDEPENDIENTE	12000000	3000000	0	196035000	51936000	0.00	2	1	1	1
8	2017-08-24	9	Ualet puro	OMAR	4	Planeador	0	Bajo	1963-10-06	73283.0	FRESNO	73	TOLIMA	0	Codigo no esta Creado	0	0	0	0	0	3199917.17	35	29	6	1
9	2017-08-24	10	Ualet puro	CELSO	4	Planeador	10	Medio	1964-01-12	6705.0	Sin ciudad	25	CUNDINAMARCA	2	EMPLEADO	19000000	10000000	0	600000000	200000000	1136146.43	9	7	2	1

Last rows

	Fecha Registro	Id Modificado	Tipo Cliente	Primer Nombre	Perfil Riesgo	Riesgo	CIIU	Fecha de Nacimiento	Cod_Ciudad_Nac.	Ciudad	Cod Dpto.Nacimto.	Departamento	Ocupacion	cant
31724	2021-03-25	31845	Ualet puro	NATALIA	4	Planeador	Bajo	1978-12-05	36576.0	Sin ciudad	11	BOGOTA	Codigo no esta Creado	1
31725	2021-03-25	31846	Ualet puro	JONATAN	3	Estratega	Bajo	1993-01-17	30789.0	Sin ciudad	11	BOGOTA	Codigo no esta Creado	1
31726	2021-03-25	31847	Ualet puro	IVAN	3	Estratega	Bajo	1986-05-27	32767.0	Sin ciudad	11	BOGOTA	Codigo no esta Creado	1
31727	2021-03-25	31848	Ualet puro	DAVID	4	Planeador	Bajo	1978-11-02	36494.0	Sin ciudad	15	BOYACA	Codigo no esta Creado	1
31728	2021-03-25	31849	Ualet puro	ANGIE	3	Estratega	Bajo	1996-03-10	36522.0	Sin ciudad	15	BOYACA	Codigo no esta Creado	1
31729	2021-03-25	31850	Ualet puro	DIEGO	4	Planeador	Bajo	2000-03-16	33611.0	Sin ciudad	11	BOGOTA	Codigo no esta Creado	1
31730	2021-03-25	31851	Ualet puro	DIEGO	4	Planeador	Bajo	1976-05-05	24162.0	Sin ciudad	13	BOLIVAR	Codigo no esta Creado	1
31731	2021-03-25	31852	Ualet puro	BRANDON	4	Planeador	Bajo	1955-03-20	35629.0	Sin ciudad	11	BOGOTA	Codigo no esta Creado	1
31732	2021-03-25	31853	Ualet puro	SANTIAGO	4	Planeador	Bajo	1991-12-14	36470.0	Sin ciudad	68	SANTANDER	Codigo no esta Creado	1
31733	2021-03-25	31854	Ualet puro	CARLOS	4	Planeador	Bajo	1995-08-25	34913.0	Sin ciudad	5	ANTIOQUIA	Codigo no esta Creado	1

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Other Punctuation

Math Symbol

Decimal Number

Open Punctuation

Modifier Symbol

Final Punctuation

Initial Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks